Analytical Solution of A Differential Equation that Predicts the Weather Condition by Lorenz Equations Using Homotopy Perturbation Method

Size: px
Start display at page:

Download "Analytical Solution of A Differential Equation that Predicts the Weather Condition by Lorenz Equations Using Homotopy Perturbation Method"

Transcription

1 Globl Journl of Pur nd Applid Mhmis. ISSN Volum 3, Numbr 207, pp Rsrh Indi Publiions hp:// Anlyil Soluion of A Diffrnil Equion h Prdis h Whr Condiion by Lornz Equions Using Homoopy Prurbion Mhod S. Muhukumr, C. Thngpndi 2, S. Mhlkshmi 2, M. Vrmuni 2 Rgisrr,Tmil Univrsiy,Thnjvur, Tmilndu, Indi. 2 Dprmn of Mhmis, Th Mdur Collg, Mduri, Tmilndu, Indi. *Corrsponding uhor C : Thngpndi, Absr Th Lornz quion hs md qulifying hos possibl whih hs inspird mny mhmiins o rsrh nd sudy hos [2]. Chos hory is h brnh of mhmis fousd on h bhviour of dynmil sysms h r highly snsiiv o iniil sysms. Choi bhviour xiss in mny nurl sysms suh s whr nd lim. Th drminisi nur of h sysm dos no mk bhviour prdibl. This bhviour is known s drminisi hos or simply. Approxim nlyil soluion of Lornz quion is obind by Homoopy prurbion mhod HPM.Furhrmor, in his work numril simulion of h problm is lso rpord using Silb/Mlb progrm. Agrmns bwn nlyil nd numril rsuls r nod. Th nlyil rsul rpord in his work is usful o undrsnd h bhvior of h sysm. Kywords: Lornz quions; Chos; Homoopy prurbion mhod HPM; Mhmil modling; S vribls.. INTRODUCTION Th Lornz sysm is sysm of ordinry diffrnil quions firs sudid by Edwrd Lornz. In priulr, h Lornz ror is s of hoi soluions of h Lornz sysm whih whn plod rsmbl burfly or figur igh. Smll diffrns in iniil ondiions yild widly divrging ouoms for suh dynmil Corrsponding uhor:c. Thngpndimhs@gmil.om

2 8066 S. Muhukumr l sysms populrly rfrrd o s h burfly ff- rndring long -rm prdiion of h bhvior impossibl in gnrl. Th ph h ld o Lornz o hs quions bgn wih n ffor o find simpl modl problm whih h mhods usd for sisil whr forsing would fil. Th Lornz quions r lso onnd o ohr physil phnomnon []. Th Lornz quion hs md qulifying hos possibl whih hs inspird mny mhmiins o rsrh nd sudy hos [2]. Chos hory is h brnh of mhmis fousd on h bhvior of dynmil sysms h r highly snsiiv o iniil sysms. Choi bhvior xiss in mny nurl sysms suh s whr nd lim. Th drminisi nur of h sysm dos no mk bhvior prdibl. This bhvior is known s drminisi hos or simply hos. This bhvior n b sudid hrough nlysis of hoi mhmil modl. Chos hory hs ppliions in svrl disiplins suh s morology, soiology, physis, ology, onomis, biology. In hoi sysms, h unriny in fors inrss xponnilly wih h lpsd im. Th modl h inrodud [3] n b hough of gross simplifiion of on fur of mosphr nmly h fluid moion drivn by h hrml buoyny known s onvion. Th modl dsribs h onvion moion of fluid in smll, idlizd Ryligh Bnrd ll. Curry [4] hs shown h if h mod runion is no don, bu insd suffiin mods r rind o giv numril onvrgn, h hos dispprs. On h ohr hnd MLuglin nd Mrin [5] hs showd h hos is obind for hr dimnsion vrsion. Th xprimnl sysm dsribd by Lornz quions is h Riik dynmo homopolr gnror wih h oupu fd bk hrough induors nd rsisors o h oil gnring h mgni fild [6]. Th oupld irui nd roion quions n b rdud o h Lornz form nd xprimns [7]. In Mrh 963, Lornz wro h h wnd o inrodu, ordinry diffrnil quions whos soluion xmpl h simpls xmpl of drminisi non priodi flow nd fini mpliud onvion. In his ppr h xmins h work of Brry Slzmn nd John Ryligh whil inorporing svrl physil phnomn [8,9]. Lornz usd hr vribls o onsru simpl modl bsd on h 2 dimnsionl rprsnion of rh s mosphr. Th purpos of his ppr is o driv h pproxim xprssions of s vribls of Lornz quions using Homoopy prurbion mhod for ll vlus of prmrs. 2. Mhmil modling nd nlysis L us onsidr h diffrnil quion s follows dx x y d

3 Anlyil Soluion of A Diffrnil Equion h Prdis h Whr dy bx y xz 2 d dz d z xy 3 whr, b, nd r prmrs. Th iniil ondiions r A =0; x=, y=, z= 4 3. Anlyil soluion of Lornz quion using Homoopy Prurbion mhod Nonlinr sysm of quions plys n imporn rol in physis, hmisry nd biology. Consruing of priulr x soluion for hs quions rmins n imporn problm. In h ps mny uhors minly hd pid nion o sudy h soluion of nonlinr quions by using vrious mhods. Th Homoopy prurbion mhod hs bn workd ou ovr numbr of yrs by numrous uhors. Th Homoopy prurbion mhod HPM ws proposd by H nd ws sussfully pplid o uonomous ordinry diffrnil quions o nonlinr polyrysllin solids nd ohr filds. In his mhod h soluion produr is vry simpl nd only fw irions ld o high ur soluions whih r vlid for whol soluion domin. By solving h Eqns. - 4, using Homoopy Prurbion mhod w obin h nlyil soluions of Lornz quion s follows: x y - b b b 6

4 8068 S. Muhukumr l b z 7 4. DISCUSSION Eqns. 5-7 r h simpl nlyil xprssions of s vribl for ll vlus of prmrs, b nd. Figur, rprsns s vribl x vrsus im for fixd vlus of b=.2 nd =0.2. Figur 2, rprsns s vribl y vrsus im for fixd vlu of b=.5. Figur 3, rprsns s vribl z vrsus im for fixd vlus of =2 nd b = CONCLUSION Approxim nlyil soluions of h Lornz quions r prsnd using Homoopy Prurbion mhod. A simpl nd nw mhod of siming h s vribls r drivd. This soluion produr n b sily xndd o ll kinds of non-linr diffrnil quions wih vrious omplx boundry ondiions in nzym subsr rion diffusion prosss. Th xprssions providd in his work r usful o undrsnd h bhvior of h sysm. Rfrns [] Glik, J. Chos: Mking Nw Sin. Pnguin Books, Nw York, NY, 987. [2] S.H. Srogz, Nonlinr Dynmis nd hos. Addison Wsly, Rding, A, 994. [3] E. Lornz, Trnsions of h Nw York Admy of Sins, [4] J.H. Curry, Commun. Mh. Phys. 60, [5] J.B. MLughlin nd P.C. Mrin, Phys. Rv. A2, [6] E.A. Jkson, Cmbridg Univrsiy Prss, Vol.2, hp [7] K.A. Robbins, Mh. Pro. Cmb. Phil. So. 82, [8] Brdly, Lrry, Chos nd Frls [9] Viswnh, Diwkr. Th Frl Propry of h Lornz Aror. Physi D: Nonlinr Phnomn, Volum 90, Issus 2, Mrh 2004.

5 Anlyil Soluion of A Diffrnil Equion h Prdis h Whr Appndix A: Bsi onps of h Homoopy Prurbion mhod To xplin his mhod l us onsidr h following funion Aw fr 0; r A. Wih h boundry ondiions of w Bw, 0 ; r A.2 n Whr A, B, f r nd Г r gnrl diffrnil opror, boundry opror, known nlyi funion nd h boundry of h domin Ω rspivly. Gnrlly spking h opror A n b dividd ino linr pr L nd nonlinr pr N. Eqn. A. n b wrin s Lw Nw fr 0 A.3 W onsru homoopy zr,p : Ω x [0,] R whih sisfis Hz,p p[ L w L z] p[ A z f r] 0, p [0,],r 0 or Hz,p Lw0 L z pl w0 p[ N z f r] 0 A.4 whr p ϵ [0,] is n mbdding prmr, whil w0 is n iniil pproximion of Eqn.A.,whih sisfis h boundry ondiions. Obviously, from Eqn.A.4 w will hv A.5 Hz,0 Lz Lw0 0 Hz, A z f r A.6 Th hnging pross of p from zro o uniy is jus h of zr, p from w0 o wr.in Topology, his is lld dformion, whil L z L w nd A z f r r lld 0 Homoopy. Aording o h HPM, w n firs us mbdding prmr p s smll prmr, nd ssum h h soluions of Eqns. A.3 nd A.4 n b wrin s powr sris in p. 2 z z pz p z... A sing p= rsuls in h pproxim soluion of Eqn.A. w lim p z z0 z z2... A.8 Th ombinion of h Prurbion mhod nd h Homoopy mhod is lld h HPM, whih limins h drwbks of h rdiionl Prurbion mhods whil kping ll is dvngs.

6 8070 S. Muhukumr l Appndix B: Anlyil soluions for h dimnsionlss onnrions In his ppndix, w indi how Eqns. 5 7 in his ppr hs bn drivd. To find h soluions of Eqn., w onsru Homoopy s follows, from Eqn.A., dx dx p x p x y 0 B. d d Th iniil pproximions r s follows 2 x x0 px p x... B dx0 P : x0 0 d B.3 dx P : x y0 0 d B.4 dx P 2 2 : x2 y 0 d B.5 Solving h bov Eqns. B. o B.5, w g x 0 B.6 x B.7 b x2 Adding h bov Eqns. B.6 o B.8, w g Eqn. 5 Similrly w n obin Eqns. 6 nd 7. Appndix C funion p4num opions= ods 'RlTol',-6,'Ss','on'; %iniil ondiions Xo= [; ; ]; spn = [0,]; i [,X] = od45@tsfunion,spn,xo,opions; o B.8

7 Anlyil Soluion of A Diffrnil Equion h Prdis h Whr. 807 figur hold on %plo, X:,,'-' plo, X:,2,'-' %plo, X:,3,'-' lgnd'x','x2','x3' ylbl'x' xlbl'' rurn funion [dx_d]= TsFunion,x =2;b=0.0;=; dx_d = -*x+*x2; dx_d2 =b*x-x2-x*x3; dx_d3 =-*x3+x*x2; dx_d = dx_d'; rurn Figur : Plo of S vribl x vrsus im vrious vlus of h prmrs. Solid lins rprsn numril soluions whrs h dod lin rprsns nlyil soluions.

8 8072 S. Muhukumr l Figur 2: Plo of S vribls x vrsus im vrious vlus of h prmrs. Solid lins rprsn numril soluions whrs h dod lin rprsns nlyil soluions. Figur 3: Plo of S vribls y vrsus im vrious vlus of h prmrs nd. Solid lins rprsn numril soluions whrs h dod lin rprsns nlyil soluions.

9 Anlyil Soluion of A Diffrnil Equion h Prdis h Whr Figur 4: Plo of S vribls y vrsus im vrious vlus of h prmrs nd. Solid lins rprsn numril soluions whrs h dod lin rprsns nlyil soluions. Figur 5: Plo of S vribls z vrsus im vrious vlus of h prmrs nd b.

10 8074 S. Muhukumr l Solid lins rprsn numril soluions whrs h dod lin rprsns nlyil soluions. Figur 6: Plo of S vribls z vrsus im vrious vlus of h prmrs nd b. Solid lins rprsn numril soluions whrs h dod lin rprsns nlyil soluions.

A Study of the Solutions of the Lotka Volterra. Prey Predator System Using Perturbation. Technique

A Study of the Solutions of the Lotka Volterra. Prey Predator System Using Perturbation. Technique Inrnionl hmil orum no. 667-67 Sud of h Soluions of h o Volrr r rdor Ssm Using rurion Thniqu D.Vnu ol Ro * D. of lid hmis IT Collg of Sin IT Univrsi Vishnm.. Indi Y... Thorni D. of lid hmis IT Collg of

More information

UNSTEADY HEAT TRANSFER

UNSTEADY HEAT TRANSFER UNSADY HA RANSFR Mny h rnsfr problms rquir h undrsnding of h ompl im hisory of h mprur vriion. For mpl, in mllurgy, h h ring pross n b onrolld o dirly ff h hrrisis of h prossd mrils. Annling (slo ool)

More information

Fourier Series and Parseval s Relation Çağatay Candan Dec. 22, 2013

Fourier Series and Parseval s Relation Çağatay Candan Dec. 22, 2013 Fourir Sris nd Prsvl s Rlion Çğy Cndn Dc., 3 W sudy h m problm EE 3 M, Fll3- in som dil o illusr som conncions bwn Fourir sris, Prsvl s rlion nd RMS vlus. Q. ps h signl sin is h inpu o hlf-wv rcifir circui

More information

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 3: Ideal Nozzle Fluid Mechanics

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 3: Ideal Nozzle Fluid Mechanics 6.5, Rok ropulsion rof. nul rinz-snhz Lur 3: Idl Nozzl luid hnis Idl Nozzl low wih No Sprion (-D) - Qusi -D (slndr) pproximion - Idl gs ssumd ( ) mu + Opimum xpnsion: - or lss, >, ould driv mor forwrd

More information

The Procedure Abstraction Part II: Symbol Tables and Activation Records

The Procedure Abstraction Part II: Symbol Tables and Activation Records Th Produr Absrion Pr II: Symbol Tbls nd Aivion Rords Th Produr s Nm Sp Why inrodu lxil soping? Provids ompil-im mhnism for binding vribls Ls h progrmmr inrodu lol nms How n h ompilr kp rk of ll hos nms?

More information

Revisiting what you have learned in Advanced Mathematical Analysis

Revisiting what you have learned in Advanced Mathematical Analysis Fourir sris Rvisiing wh you hv lrnd in Advncd Mhmicl Anlysis L f x b priodic funcion of priod nd is ingrbl ovr priod. f x cn b rprsnd by rigonomric sris, f x n cos nx bn sin nx n cos x b sin x cosx b whr

More information

Section 2: The Z-Transform

Section 2: The Z-Transform Scion : h -rnsform Digil Conrol Scion : h -rnsform In linr discr-im conrol sysm linr diffrnc quion chrcriss h dynmics of h sysm. In ordr o drmin h sysm s rspons o givn inpu, such diffrnc quion mus b solvd.

More information

UNSTEADY STATE HEAT CONDUCTION

UNSTEADY STATE HEAT CONDUCTION MODUL 5 UNADY A HA CONDUCION 5. Inroduion o his poin, hv onsidrd onduiv h rnsfr problms in hih h mprurs r indpndn of im. In mny ppliions, hovr, h mprurs r vrying ih im, nd rquir h undrsnding of h ompl

More information

3.4 Repeated Roots; Reduction of Order

3.4 Repeated Roots; Reduction of Order 3.4 Rpd Roos; Rducion of Ordr Rcll our nd ordr linr homognous ODE b c 0 whr, b nd c r consns. Assuming n xponnil soluion lds o chrcrisic quion: r r br c 0 Qudric formul or fcoring ilds wo soluions, r &

More information

A modified hyperbolic secant distribution

A modified hyperbolic secant distribution Songklnkrin J Sci Tchnol 39 (1 11-18 Jn - Fb 2017 hp://wwwsjspsuch Originl Aricl A modifid hyprbolic scn disribuion Pnu Thongchn nd Wini Bodhisuwn * Dprmn of Sisics Fculy of Scinc Kssr Univrsiy Chuchk

More information

Relation between Fourier Series and Transform

Relation between Fourier Series and Transform EE 37-3 8 Ch. II: Inro. o Sinls Lcur 5 Dr. Wih Abu-Al-Su Rlion bwn ourir Sris n Trnsform Th ourir Trnsform T is riv from h finiion of h ourir Sris S. Consir, for xmpl, h prioic complx sinl To wih prio

More information

Inventory Management Model with Quadratic Demand, Variable Holding Cost with Salvage value

Inventory Management Model with Quadratic Demand, Variable Holding Cost with Salvage value Asr Rsr Journl of Mngmn Sins ISSN 9 7 Vol. 8- Jnury Rs. J. Mngmn Si. Invnory Mngmn Modl wi udri Dmnd Vril Holding Cos wi Slvg vlu Mon R. nd Vnkswrlu R. F-Civil Dp of Mmis Collg of Miliry Enginring Pun

More information

The model proposed by Vasicek in 1977 is a yield-based one-factor equilibrium model given by the dynamic

The model proposed by Vasicek in 1977 is a yield-based one-factor equilibrium model given by the dynamic h Vsick modl h modl roosd by Vsick in 977 is yild-bsd on-fcor quilibrium modl givn by h dynmic dr = b r d + dw his modl ssums h h shor r is norml nd hs so-clld "mn rvring rocss" (undr Q. If w u r = b/,

More information

LINEAR 2 nd ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS

LINEAR 2 nd ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS Diol Bgyoko (0) I.INTRODUCTION LINEAR d ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS I. Dfiiio All suh diffril quios s i h sdrd or oil form: y + y + y Q( x) dy d y wih y d y d dx dx whr,, d

More information

Single Correct Type. cos z + k, then the value of k equals. dx = 2 dz. (a) 1 (b) 0 (c)1 (d) 2 (code-v2t3paq10) l (c) ( l ) x.

Single Correct Type. cos z + k, then the value of k equals. dx = 2 dz. (a) 1 (b) 0 (c)1 (d) 2 (code-v2t3paq10) l (c) ( l ) x. IIT JEE/AIEEE MATHS y SUHAAG SIR Bhopl, Ph. (755)3 www.kolsss.om Qusion. & Soluion. In. Cl. Pg: of 6 TOPIC = INTEGRAL CALCULUS Singl Corr Typ 3 3 3 Qu.. L f () = sin + sin + + sin + hn h primiiv of f()

More information

5.1-The Initial-Value Problems For Ordinary Differential Equations

5.1-The Initial-Value Problems For Ordinary Differential Equations 5.-The Iniil-Vlue Problems For Ordinry Differenil Equions Consider solving iniil-vlue problems for ordinry differenil equions: (*) y f, y, b, y. If we know he generl soluion y of he ordinry differenil

More information

Math 266, Practice Midterm Exam 2

Math 266, Practice Midterm Exam 2 Mh 66, Prcic Midrm Exm Nm: Ground Rul. Clculor i NOT llowd.. Show your work for vry problm unl ohrwi d (pril crdi r vilbl). 3. You my u on 4-by-6 indx crd, boh id. 4. Th bl of Lplc rnform i vilbl h l pg.

More information

VIBRATION ANALYSIS OF CURVED SINGLE-WALLED CARBON NANOTUBES EMBEDDED IN AN ELASTIC MEDIUM BASED ON NONLOCAL ELASTICITY

VIBRATION ANALYSIS OF CURVED SINGLE-WALLED CARBON NANOTUBES EMBEDDED IN AN ELASTIC MEDIUM BASED ON NONLOCAL ELASTICITY VIBRATION ANASIS OF CURVED SINGE-AED CARBON NANOTUBES EMBEDDED IN AN EASTIC MEDIUM BASED ON NONOCA EASTICIT Pym Solni Amir Kssi Dprmn of Mchnicl Enginring Islmic Azd Univrsiy-Smnn Brnch Smnm Irn -mil:

More information

Exact Solutions for Some Nonlinear Partial Differential Equations in Mathematical Physics

Exact Solutions for Some Nonlinear Partial Differential Equations in Mathematical Physics ISSN 76-7659 Englnd K Journl of Informion nd Compuing Sin Vol. 6 No. pp. 9- E Soluions for Som Nonlinr Pril Diffrnil Equions in Mhmil Phsis A.R. Shh + E.M.E.Zd. * nd K.A.prl Mhmis Dprmn Ful of Sin Tif

More information

International Journal on Recent and Innovation Trends in Computing and Communication ISSN: Volume: 5 Issue:

International Journal on Recent and Innovation Trends in Computing and Communication ISSN: Volume: 5 Issue: Inrnionl Journl on Rn nd Innovion rnds in Compuing nd Communiion ISSN: -869 Volum: Issu: 78 97 Dvlopmn of n EPQ Modl for Drioring Produ wih Sok nd Dmnd Dpndn Produion r undr Vril Crrying Cos nd Pril Bklogging

More information

EEE 303: Signals and Linear Systems

EEE 303: Signals and Linear Systems 33: Sigls d Lir Sysms Orhogoliy bw wo sigls L us pproim fucio f () by fucio () ovr irvl : f ( ) = c( ); h rror i pproimio is, () = f() c () h rgy of rror sigl ovr h irvl [, ] is, { }{ } = f () c () d =

More information

Engine Thrust. From momentum conservation

Engine Thrust. From momentum conservation Airbrhing Propulsion -1 Airbrhing School o Arospc Enginring Propulsion Ovrviw w will b xmining numbr o irbrhing propulsion sysms rmjs, urbojs, urbons, urboprops Prormnc prmrs o compr hm, usul o din som

More information

Reliability Analysis of a Bridge and Parallel Series Networks with Critical and Non- Critical Human Errors: A Block Diagram Approach.

Reliability Analysis of a Bridge and Parallel Series Networks with Critical and Non- Critical Human Errors: A Block Diagram Approach. Inrnaional Journal of Compuaional Sin and Mahmais. ISSN 97-3189 Volum 3, Numr 3 11, pp. 351-3 Inrnaional Rsarh Puliaion Hous hp://www.irphous.om Rliailiy Analysis of a Bridg and Paralll Sris Nworks wih

More information

Systems of First Order Linear Differential Equations

Systems of First Order Linear Differential Equations Sysms of Firs Ordr Linr Diffrnil Equions W will now urn our nion o solving sysms of simulnous homognous firs ordr linr diffrnil quions Th soluions of such sysms rquir much linr lgbr (Mh Bu sinc i is no

More information

1 Finite Automata and Regular Expressions

1 Finite Automata and Regular Expressions 1 Fini Auom nd Rgulr Exprion Moivion: Givn prn (rgulr xprion) for ring rching, w migh wn o convr i ino drminiic fini uomon or nondrminiic fini uomon o mk ring rching mor fficin; drminiic uomon only h o

More information

Decline Curves. Exponential decline (constant fractional decline) Harmonic decline, and Hyperbolic decline.

Decline Curves. Exponential decline (constant fractional decline) Harmonic decline, and Hyperbolic decline. Dlin Curvs Dlin Curvs ha lo flow ra vs. im ar h mos ommon ools for forasing roduion and monioring wll rforman in h fild. Ths urvs uikly show by grahi mans whih wlls or filds ar roduing as xd or undr roduing.

More information

Systems of First Order Linear Differential Equations

Systems of First Order Linear Differential Equations Sysms of Firs Ordr Linr Diffrnil Equions W will now urn our nion o solving sysms of simulnous homognous firs ordr linr diffrnil quions Th soluions of such sysms rquir much linr lgbr (Mh Bu sinc i is no

More information

Laplace Transform. National Chiao Tung University Chun-Jen Tsai 10/19/2011

Laplace Transform. National Chiao Tung University Chun-Jen Tsai 10/19/2011 plc Trnorm Nionl Chio Tung Univriy Chun-Jn Ti /9/ Trnorm o Funcion Som opror rnorm uncion ino nohr uncion: d Dirniion: x x, or Dx x dx x Indini Ingrion: x dx c Dini Ingrion: x dx 9 A uncion my hv nicr

More information

(A) 1 (B) 1 + (sin 1) (C) 1 (sin 1) (D) (sin 1) 1 (C) and g be the inverse of f. Then the value of g'(0) is. (C) a. dx (a > 0) is

(A) 1 (B) 1 + (sin 1) (C) 1 (sin 1) (D) (sin 1) 1 (C) and g be the inverse of f. Then the value of g'(0) is. (C) a. dx (a > 0) is [STRAIGHT OBJECTIVE TYPE] l Q. Th vlu of h dfii igrl, cos d is + (si ) (si ) (si ) Q. Th vlu of h dfii igrl si d whr [, ] cos cos Q. Vlu of h dfii igrl ( si Q. L f () = d ( ) cos 7 ( ) )d d g b h ivrs

More information

Midterm. Answer Key. 1. Give a short explanation of the following terms.

Midterm. Answer Key. 1. Give a short explanation of the following terms. ECO 33-00: on nd Bnking Souhrn hodis Univrsi Spring 008 Tol Poins 00 0 poins for h pr idrm Answr K. Giv shor xplnion of h following rms. Fi mon Fi mon is nrl oslssl produd ommodi h n oslssl sord, oslssl

More information

Chapter 3. The Fourier Series

Chapter 3. The Fourier Series Chpr 3 h Fourir Sris Signls in h im nd Frquny Domin INC Signls nd Sysms Chpr 3 h Fourir Sris Eponnil Funion r j ros jsin ) INC Signls nd Sysms Chpr 3 h Fourir Sris Odd nd Evn Evn funion : Odd funion :

More information

Lecture 4: Laplace Transforms

Lecture 4: Laplace Transforms Lur 4: Lapla Transforms Lapla and rlad ransformaions an b usd o solv diffrnial quaion and o rdu priodi nois in signals and imags. Basially, hy onvr h drivaiv opraions ino mulipliaion, diffrnial quaions

More information

Inventory Model with Quadratic Demand under the Two Warehouse Management System

Inventory Model with Quadratic Demand under the Two Warehouse Management System Prin : - nlin : - A K Mlik l. / nrnionl Jornl of Enginring nd hnology JE nnory Modl wih Qdri Dmnd ndr h wo Wrhos Mngmn ysm A K Mlik Dipk Chkrory Kpil Kmr Bnsl nd * ish Kmr Assoi Profssor Dprmn of Mhmis

More information

The Laplace Transform

The Laplace Transform Th Lplc Trnform Dfiniion nd propri of Lplc Trnform, picwi coninuou funcion, h Lplc Trnform mhod of olving iniil vlu problm Th mhod of Lplc rnform i ym h rli on lgbr rhr hn clculu-bd mhod o olv linr diffrnil

More information

A THREE COMPARTMENT MATHEMATICAL MODEL OF LIVER

A THREE COMPARTMENT MATHEMATICAL MODEL OF LIVER A THREE COPARTENT ATHEATICAL ODEL OF LIVER V. An N. Ch. Paabhi Ramacharyulu Faculy of ahmaics, R D collgs, Hanamonda, Warangal, India Dparmn of ahmaics, Naional Insiu of Tchnology, Warangal, India E-ail:

More information

A Study on the Nature of an Additive Outlier in ARMA(1,1) Models

A Study on the Nature of an Additive Outlier in ARMA(1,1) Models Europn Journl of Scinific Rsrch SSN 45-6X Vol3 No3 9, pp36-368 EuroJournls Publishing, nc 9 hp://wwwuroournlscom/srhm A Sudy on h Nur of n Addiiv Oulir in ARMA, Modls Azmi Zhrim Cnr for Enginring Rsrch

More information

Incremental DFT Based Search Algorithm for Similar Sequence

Incremental DFT Based Search Algorithm for Similar Sequence Inrnl DFT Bsd Srh Algorih or Siilr Squn Qun hng, hiki Fng, nd Ming hu Dprn o Auoion, Univrsiy o Sin nd Thnology o Chin, Hi, 37, P.R. Chin qzhng@us.du.n nzhiki@il.us.du.n Absr. This ppr bgins wih nw lgorih

More information

Fourier. Continuous time. Review. with period T, x t. Inverse Fourier F Transform. x t. Transform. j t

Fourier. Continuous time. Review. with period T, x t. Inverse Fourier F Transform. x t. Transform. j t Coninuous im ourir rnsform Rviw. or coninuous-im priodic signl x h ourir sris rprsnion is x x j, j 2 d wih priod, ourir rnsform Wh bou priodic signls? W willl considr n priodic signl s priodic signl wih

More information

Jonathan Turner Exam 2-10/28/03

Jonathan Turner Exam 2-10/28/03 CS Algorihm n Progrm Prolm Exm Soluion S Soluion Jonhn Turnr Exm //. ( poin) In h Fioni hp ruur, u wn vrx u n i prn v u ing u v i v h lry lo hil in i l m hil o om ohr vrx. Suppo w hng hi, o h ing u i prorm

More information

Boyce/DiPrima 9 th ed, Ch 7.8: Repeated Eigenvalues

Boyce/DiPrima 9 th ed, Ch 7.8: Repeated Eigenvalues Boy/DiPrima 9 h d Ch 7.8: Rpad Eignvalus Elmnary Diffrnial Equaions and Boundary Valu Problms 9 h diion by William E. Boy and Rihard C. DiPrima 9 by John Wily & Sons In. W onsidr again a homognous sysm

More information

Charging of capacitor through inductor and resistor

Charging of capacitor through inductor and resistor cur 4&: R circui harging of capacior hrough inducor and rsisor us considr a capacior of capacianc is conncd o a D sourc of.m.f. E hrough a rsisr of rsisanc R, an inducor of inducanc and a y K in sris.

More information

Equations and Boundary Value Problems

Equations and Boundary Value Problems Elmn Diffnil Equions nd Bound Vlu Poblms Bo. & DiPim, 9 h Ediion Chp : Sond Od Diffnil Equions 6 คณ ตศาสตร ว ศวกรรม สาขาว ชาว ศวกรรมคอมพ วเตอร ป การศ กษา /555 ผศ.ดร.อร ญญา ผศ.ดร.สมศ กด วล ยร ชต Topis Homognous

More information

Week 06 Discussion Suppose a discrete random variable X has the following probability distribution: f ( 0 ) = 8

Week 06 Discussion Suppose a discrete random variable X has the following probability distribution: f ( 0 ) = 8 STAT W 6 Discussion Fll 7..-.- If h momn-gnring funcion of X is M X ( ), Find h mn, vrinc, nd pmf of X.. Suppos discr rndom vribl X hs h following probbiliy disribuion: f ( ) 8 7, f ( ),,, 6, 8,. ( possibl

More information

An Indian Journal FULL PAPER. Trade Science Inc. A stage-structured model of a single-species with density-dependent and birth pulses ABSTRACT

An Indian Journal FULL PAPER. Trade Science Inc. A stage-structured model of a single-species with density-dependent and birth pulses ABSTRACT [Typ x] [Typ x] [Typ x] ISSN : 974-7435 Volum 1 Issu 24 BioTchnology 214 An Indian Journal FULL PAPE BTAIJ, 1(24), 214 [15197-1521] A sag-srucurd modl of a singl-spcis wih dnsiy-dpndn and birh pulss LI

More information

Speaker Identification using Spectrograms of Varying Frame Sizes

Speaker Identification using Spectrograms of Varying Frame Sizes Inrnionl Journl of Compur ppliions 975 8887) Volum 5 No.2, July 212 Spkr Idnifiion using Sprogrms of Vrying Frm Sizs H. B. Kkr Phd,Snior Profssor, Compur Dp., MPSTME, NMIMS Univrsiy Mumbi, 4-56, Indi.

More information

Ch 1.2: Solutions of Some Differential Equations

Ch 1.2: Solutions of Some Differential Equations Ch 1.2: Solutions of Som Diffrntil Equtions Rcll th fr fll nd owl/mic diffrntil qutions: v 9.8.2v, p.5 p 45 Ths qutions hv th gnrl form y' = y - b W cn us mthods of clculus to solv diffrntil qutions of

More information

Stability and Optimal Harvesting of Modified Leslie-Gower Predator-Prey Model

Stability and Optimal Harvesting of Modified Leslie-Gower Predator-Prey Model Journl of Phsis: Confrn Sris PAPR OPN ACCSS Sbili nd Oiml rvsing of Modifid Lsli-Gowr Prdor-Pr Modl To i his ril: S Toh nd M I Azis 08 J. Phs.: Conf. Sr. 979 0069 Viw h ril onlin for uds nd nhnmns. This

More information

Inverse Fourier Transform. Properties of Continuous time Fourier Transform. Review. Linearity. Reading Assignment Oppenheim Sec pp.289.

Inverse Fourier Transform. Properties of Continuous time Fourier Transform. Review. Linearity. Reading Assignment Oppenheim Sec pp.289. Convrgnc of ourir Trnsform Rding Assignmn Oppnhim Sc 42 pp289 Propris of Coninuous im ourir Trnsform Rviw Rviw or coninuous-im priodic signl x, j x j d Invrs ourir Trnsform 2 j j x d ourir Trnsform Linriy

More information

Lecture contents. Bloch theorem k-vector Brillouin zone Almost free-electron model Bands Effective mass Holes. NNSE 508 EM Lecture #9

Lecture contents. Bloch theorem k-vector Brillouin zone Almost free-electron model Bands Effective mass Holes. NNSE 508 EM Lecture #9 Lctur contnts Bloch thorm -vctor Brillouin zon Almost fr-lctron modl Bnds ffctiv mss Hols Trnsltionl symmtry: Bloch thorm On-lctron Schrödingr qution ch stt cn ccommo up to lctrons: If Vr is priodic function:

More information

Advanced Microeconomics II. Lijun Pan Nagoya University

Advanced Microeconomics II. Lijun Pan Nagoya University Advnd Miroonomis II Lijun Pn Ngoy Univrsiy Dynmi Gms of Compl Informion Exnsiv-Form Rprsnion Subgm-prf Ns quilibrium Clssifiion of Gms Si Gms Simulnous Mov Gms Gms wr plyrs oos ions simulnously. Su s prisonrs

More information

CSE 245: Computer Aided Circuit Simulation and Verification

CSE 245: Computer Aided Circuit Simulation and Verification CSE 45: Compur Aidd Circui Simulaion and Vrificaion Fall 4, Sp 8 Lcur : Dynamic Linar Sysm Oulin Tim Domain Analysis Sa Equaions RLC Nwork Analysis by Taylor Expansion Impuls Rspons in im domain Frquncy

More information

Boyce/DiPrima 9 th ed, Ch 2.1: Linear Equations; Method of Integrating Factors

Boyce/DiPrima 9 th ed, Ch 2.1: Linear Equations; Method of Integrating Factors Boc/DiPrima 9 h d, Ch.: Linar Equaions; Mhod of Ingraing Facors Elmnar Diffrnial Equaions and Boundar Valu Problms, 9 h diion, b William E. Boc and Richard C. DiPrima, 009 b John Wil & Sons, Inc. A linar

More information

INTEGRALS. Exercise 1. Let f : [a, b] R be bounded, and let P and Q be partitions of [a, b]. Prove that if P Q then U(P ) U(Q) and L(P ) L(Q).

INTEGRALS. Exercise 1. Let f : [a, b] R be bounded, and let P and Q be partitions of [a, b]. Prove that if P Q then U(P ) U(Q) and L(P ) L(Q). INTEGRALS JOHN QUIGG Eercise. Le f : [, b] R be bounded, nd le P nd Q be priions of [, b]. Prove h if P Q hen U(P ) U(Q) nd L(P ) L(Q). Soluion: Le P = {,..., n }. Since Q is obined from P by dding finiely

More information

FREE VIBRATION AND BENDING ANALYSES OF CANTILEVER MICROTUBULES BASED ON NONLOCAL CONTINUUM MODEL

FREE VIBRATION AND BENDING ANALYSES OF CANTILEVER MICROTUBULES BASED ON NONLOCAL CONTINUUM MODEL Mhmicl nd Compuionl Applicions Vol. 15 o. pp. 89-98 1. Associion for Scinific Rsrch FREE VIBRATIO AD BEDIG AALYSES OF CATILEVER MICROTUBULES BASED O OLOCAL COTIUUM MODEL Ömr Civlk Çiğdm Dmir nd Bkir Akgöz

More information

Elementary Differential Equations and Boundary Value Problems

Elementary Differential Equations and Boundary Value Problems Elmnar Diffrnial Equaions and Boundar Valu Problms Boc. & DiPrima 9 h Ediion Chapr : Firs Ordr Diffrnial Equaions 00600 คณ ตศาสตร ว ศวกรรม สาขาว ชาว ศวกรรมคอมพ วเตอร ป การศ กษา /55 ผศ.ดร.อร ญญา ผศ.ดร.สมศ

More information

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System EE 422G No: Chapr 5 Inrucor: Chung Chapr 5 Th Laplac Tranform 5- Inroducion () Sym analyi inpu oupu Dynamic Sym Linar Dynamic ym: A procor which proc h inpu ignal o produc h oupu dy ( n) ( n dy ( n) +

More information

Canadian Journal of Physics. Kantowski-Sachs modified holographic Ricci dark energy model in Saez-Ballester theory of gravitation

Canadian Journal of Physics. Kantowski-Sachs modified holographic Ricci dark energy model in Saez-Ballester theory of gravitation Cndin Journl of Physics Knowsi-Schs modifid hologrphic Ricci dr nrgy modl in Sz-Bllsr hory of grviion Journl: Cndin Journl of Physics Mnuscrip ID cjp--7.r Mnuscrip Typ: Aricl D Submid by h Auhor: -Jul-7

More information

Chahrazed L Journal of Scientific and Engineering Research, 2018, 5(4): and

Chahrazed L Journal of Scientific and Engineering Research, 2018, 5(4): and vilbl onlin www.jsr.com Journl of cinific n nginring srch 8 54:- srch ricl N: 94-6 CODNU: JB Mhmicl nlysis of wo pimic mols wih mporry immuniy Li Chhrz Dprmn of Mhmics Fculy of xc scincs Univrsiy frrs

More information

Chapter 4 Multifield Surface Bone Remodeling

Chapter 4 Multifield Surface Bone Remodeling hr Mulifild Surf on Rmodling In hr, h horil nd numril rul of inrnl on rmodling wr rnd. Exnion o mulifild urf on rmodling i diud in hi hr. horil rdiion of urf on rmodling in h dihyi of h long on undr vriou

More information

An Optimal Ordering Policy for Inventory Model with. Non-Instantaneous Deteriorating Items and. Stock-Dependent Demand

An Optimal Ordering Policy for Inventory Model with. Non-Instantaneous Deteriorating Items and. Stock-Dependent Demand Applid Mhmicl Scincs, Vol. 7, 0, no. 8, 407-4080 KA Ld, www.m-hikri.com hp://dx.doi.org/0.988/ms.0.56 An piml rdring Policy for nvnory Modl wih Non-nsnnous rioring ms nd Sock-pndn mnd Jsvindr Kur, jndr

More information

A MATHEMATICAL MODEL FOR NATURAL COOLING OF A CUP OF TEA

A MATHEMATICAL MODEL FOR NATURAL COOLING OF A CUP OF TEA MTHEMTICL MODEL FOR NTURL COOLING OF CUP OF TE 1 Mrs.D.Kalpana, 2 Mr.S.Dhvarajan 1 Snior Lcurr, Dparmn of Chmisry, PSB Polychnic Collg, Chnnai, India. 2 ssisan Profssor, Dparmn of Mahmaics, Dr.M.G.R Educaional

More information

A Production Inventory Model for Different Classes of Demands with Constant Production Rate Considering the Product s Shelf-Life Finite

A Production Inventory Model for Different Classes of Demands with Constant Production Rate Considering the Product s Shelf-Life Finite nrnionl Confrnc on Mchnicl nusril n Mrils Enginring 5 CMME5 - Dcmbr 5 RUE Rjshhi Bnglsh. Ppr D: E-6 A Proucion nvnory Mol for Diffrn Clsss of Dmns wih Consn Proucion R Consiring h Prouc s Shlf-Lif Fini

More information

CS 541 Algorithms and Programs. Exam 2 Solutions. Jonathan Turner 11/8/01

CS 541 Algorithms and Programs. Exam 2 Solutions. Jonathan Turner 11/8/01 CS 1 Algorim nd Progrm Exm Soluion Jonn Turnr 11/8/01 B n nd oni, u ompl. 1. (10 poin). Conidr vrion of or p prolm wi mulipliiv o. In i form of prolm, lng of p i produ of dg lng, rr n um. Explin ow or

More information

UNSTEADY FLOW OF A FLUID PARTICLE SUSPENSION BETWEEN TWO PARALLEL PLATES SUDDENLY SET IN MOTION WITH SAME SPEED

UNSTEADY FLOW OF A FLUID PARTICLE SUSPENSION BETWEEN TWO PARALLEL PLATES SUDDENLY SET IN MOTION WITH SAME SPEED 006-0 Asian Rsarch Publishing work (ARP). All righs rsrvd. USTEADY FLOW OF A FLUID PARTICLE SUSPESIO BETWEE TWO PARALLEL PLATES SUDDELY SET I MOTIO WITH SAME SPEED M. suniha, B. Shankr and G. Shanha 3

More information

HIGHER ORDER DIFFERENTIAL EQUATIONS

HIGHER ORDER DIFFERENTIAL EQUATIONS Prof Enriqu Mtus Nivs PhD in Mthmtis Edution IGER ORDER DIFFERENTIAL EQUATIONS omognous linr qutions with onstnt offiints of ordr two highr Appl rdution mthod to dtrmin solution of th nonhomognous qution

More information

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument Inrnaional Rsarch Journal of Applid Basic Scincs 03 Aailabl onlin a wwwirjabscom ISSN 5-838X / Vol 4 (): 47-433 Scinc Eplorr Publicaions On h Driais of Bssl Modifid Bssl Funcions wih Rspc o h Ordr h Argumn

More information

Advanced Engineering Mathematics, K.A. Stroud, Dexter J. Booth Engineering Mathematics, H.K. Dass Higher Engineering Mathematics, Dr. B.S.

Advanced Engineering Mathematics, K.A. Stroud, Dexter J. Booth Engineering Mathematics, H.K. Dass Higher Engineering Mathematics, Dr. B.S. Rfrc: (i) (ii) (iii) Advcd Egirig Mhmic, K.A. Sroud, Dxr J. Booh Egirig Mhmic, H.K. D Highr Egirig Mhmic, Dr. B.S. Grwl Th mhod of m Thi coi of h followig xm wih h giv coribuio o h ol. () Mid-rm xm : 3%

More information

Advanced Queueing Theory. M/G/1 Queueing Systems

Advanced Queueing Theory. M/G/1 Queueing Systems Advand Quung Thory Ths slds ar rad by Dr. Yh Huang of Gorg Mason Unvrsy. Sudns rgsrd n Dr. Huang's ourss a GMU an ma a sngl mahn-radabl opy and prn a sngl opy of ah sld for hr own rfrn, so long as ah sld

More information

2 T. or T. DSP First, 2/e. This Lecture: Lecture 7C Fourier Series Examples: Appendix C, Section C-2 Various Fourier Series

2 T. or T. DSP First, 2/e. This Lecture: Lecture 7C Fourier Series Examples: Appendix C, Section C-2 Various Fourier Series DSP Firs, Lcur 7C Fourir Sris Empls: Common Priodic Signls READIG ASSIGMES his Lcur: Appndi C, Scion C- Vrious Fourir Sris Puls Wvs ringulr Wv Rcifid Sinusoids lso in Ch. 3, Sc. 3-5 Aug 6 3-6, JH McCllln

More information

FOURIER ANALYSIS Signals and System Analysis

FOURIER ANALYSIS Signals and System Analysis FOURIER ANALYSIS Isc Nwo Whi ligh cosiss of sv compos J Bpis Josph Fourir Bor: Mrch 768 i Auxrr, Bourgog, Frc Did: 6 My 83 i Pris, Frc Fourir Sris A priodic sigl of priod T sisfis ft f for ll f f for ll

More information

Lecture 11 Waves in Periodic Potentials Today: Questions you should be able to address after today s lecture:

Lecture 11 Waves in Periodic Potentials Today: Questions you should be able to address after today s lecture: Lctur 11 Wvs in Priodic Potntils Tody: 1. Invrs lttic dfinition in 1D.. rphicl rprsnttion of priodic nd -priodic functions using th -xis nd invrs lttic vctors. 3. Sris solutions to th priodic potntil Hmiltonin

More information

Major: All Engineering Majors. Authors: Autar Kaw, Luke Snyder

Major: All Engineering Majors. Authors: Autar Kaw, Luke Snyder Nolr Rgrsso Mjor: All Egrg Mjors Auhors: Aur Kw, Luk Sydr hp://urclhodsgusfdu Trsforg Nurcl Mhods Educo for STEM Udrgrdus 3/9/5 hp://urclhodsgusfdu Nolr Rgrsso hp://urclhodsgusfdu Nolr Rgrsso So populr

More information

Physics 160 Lecture 3. R. Johnson April 6, 2015

Physics 160 Lecture 3. R. Johnson April 6, 2015 Physics 6 Lcur 3 R. Johnson April 6, 5 RC Circui (Low-Pass Filr This is h sam RC circui w lookd a arlir h im doma, bu hr w ar rsd h frquncy rspons. So w pu a s wav sad of a sp funcion. whr R C RC Complx

More information

Control Systems. Modelling Physical Systems. Assoc.Prof. Haluk Görgün. Gears DC Motors. Lecture #5. Control Systems. 10 March 2013

Control Systems. Modelling Physical Systems. Assoc.Prof. Haluk Görgün. Gears DC Motors. Lecture #5. Control Systems. 10 March 2013 Lcur #5 Conrol Sy Modlling Phyicl Sy Gr DC Moor Aoc.Prof. Hluk Görgün 0 Mrch 03 Conrol Sy Aoc. Prof. Hluk Görgün rnfr Funcion for Sy wih Gr Gr provid chnicl dvng o roionl y. Anyon who h riddn 0-pd bicycl

More information

More on FT. Lecture 10 4CT.5 3CT.3-5,7,8. BME 333 Biomedical Signals and Systems - J.Schesser

More on FT. Lecture 10 4CT.5 3CT.3-5,7,8. BME 333 Biomedical Signals and Systems - J.Schesser Mr n FT Lcur 4CT.5 3CT.3-5,7,8 BME 333 Bimdicl Signls nd Sysms - J.Schssr 43 Highr Ordr Diffrniin d y d x, m b Y b X N n M m N M n n n m m n m n d m d n m Y n d f n [ n ] F d M m bm m X N n n n n n m p

More information

K x,y f x dx is called the integral transform of f(x). The function

K x,y f x dx is called the integral transform of f(x). The function APACE TRANSFORMS Ingrl rnform i priculr kind of mhmicl opror which ri in h nlyi of om boundry vlu nd iniil vlu problm of clicl Phyic. A funcion g dfind by b rlion of h form gy) = K x,y f x dx i clld h

More information

ELECTRIC VELOCITY SERVO REGULATION

ELECTRIC VELOCITY SERVO REGULATION ELECIC VELOCIY SEVO EGULAION Gorg W. Younkin, P.E. Lif FELLOW IEEE Indusril Conrols Consuling, Di. Bulls Ey Mrking, Inc. Fond du Lc, Wisconsin h prformnc of n lcricl lociy sro is msur of how wll h sro

More information

Lecture 2: Current in RC circuit D.K.Pandey

Lecture 2: Current in RC circuit D.K.Pandey Lcur 2: urrn in circui harging of apacior hrough Rsisr L us considr a capacior of capacianc is conncd o a D sourc of.m.f. E hrough a rsisr of rsisanc R and a ky K in sris. Whn h ky K is swichd on, h charging

More information

Bicomplex Version of Laplace Transform

Bicomplex Version of Laplace Transform Annd Kumr l. / Inrnionl Journl of Enginring nd Tchnology Vol.,, 5- Bicomplx Vrsion of Lplc Trnsform * Mr. Annd Kumr, Mr. Prvindr Kumr *Dprmn of Applid Scinc, Roork Enginring Mngmn Tchnology Insiu, Shmli

More information

Numerical Simulation for the 2-D Heat Equation with Derivative Boundary Conditions

Numerical Simulation for the 2-D Heat Equation with Derivative Boundary Conditions IOSR Joural of Applid Chmisr IOSR-JAC -ISSN: 78-576.Volum 9 Issu 8 Vr. I Aug. 6 PP 4-8 www.iosrjourals.org Numrical Simulaio for h - Ha Equaio wih rivaiv Boudar Codiios Ima. I. Gorial parm of Mahmaics

More information

Behaviors and Attitudes

Behaviors and Attitudes Bhvior nd Aiud Ey Win: vrnor' Counil on Phoo oury Go Coll informion on prn nd udn bhvior nd iud rgrding wlking nd biyling o hool wih rdy-o-u urvy. Snd prn urvy hom in udn Fridy Bkpk, or pu ompur in h hool

More information

PHA Second Exam. Fall On my honor, I have neither given nor received unauthorized aid in doing this assignment.

PHA Second Exam. Fall On my honor, I have neither given nor received unauthorized aid in doing this assignment. Nm: UFI #: PHA 527 Scond Exm Fll 20 On my honor, I hv nihr givn nor rcivd unuhorizd id in doing his ssignmn. Nm Pu ll nswrs on h bubbl sh OAL /200 ps Nm: UFI #: Qusion S I (ru or Fls) (5 poins) ru (A)

More information

A Simple Method for Determining the Manoeuvring Indices K and T from Zigzag Trial Data

A Simple Method for Determining the Manoeuvring Indices K and T from Zigzag Trial Data Rind 8-- Wbsi: wwwshimoionsnl Ro 67, Jun 97, Dlf Univsiy of chnoloy, Shi Hydomchnics Lbooy, Mklw, 68 CD Dlf, h Nhlnds A Siml Mhod fo Dminin h Mnouvin Indics K nd fom Ziz il D JMJ Jouné Dlf Univsiy of chnoloy

More information

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 )

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 ) AR() Procss Th firs-ordr auorgrssiv procss, AR() is whr is WN(0, σ ) Condiional Man and Varianc of AR() Condiional man: Condiional varianc: ) ( ) ( Ω Ω E E ) var( ) ) ( var( ) var( σ Ω Ω Ω Ω E Auocovarianc

More information

² Metres. Jack & Bore. Wesley Brooks Memorial Conservation Area (Fairy Lake) Directional Drilling** East Holland River. Tom Taylor Trail.

² Metres. Jack & Bore. Wesley Brooks Memorial Conservation Area (Fairy Lake) Directional Drilling** East Holland River. Tom Taylor Trail. i m Will E Nw Bogr Crk Forcmin Conncion o Nw Nwmrk Forcmin Sr Sr l g r Co Wsly Brooks Mmoril Consrvion Ar (Firy Lk) Bvi r Sr w A v nu Sr ds Scon A w ndr Jck & Bor Dircionl Drilling** Es Rivr k Sr O Cn

More information

Lecture 21 : Graphene Bandstructure

Lecture 21 : Graphene Bandstructure Fundmnls of Nnolcronics Prof. Suprio D C 45 Purdu Univrsi Lcur : Grpn Bndsrucur Rf. Cpr 6. Nwor for Compuionl Nnocnolog Rviw of Rciprocl Lic :5 In ls clss w lrnd ow o consruc rciprocl lic. For D w v: Rl-Spc:

More information

On the Speed of Heat Wave. Mihály Makai

On the Speed of Heat Wave. Mihály Makai On h Spd of Ha Wa Mihály Maai maai@ra.bm.hu Conns Formulaion of h problm: infini spd? Local hrmal qulibrium (LTE hypohsis Balanc quaion Phnomnological balanc Spd of ha wa Applicaion in plasma ranspor 1.

More information

5. An object moving along an x-coordinate axis with its scale measured in meters has a velocity of 6t

5. An object moving along an x-coordinate axis with its scale measured in meters has a velocity of 6t AP CALCULUS FINAL UNIT WORKSHEETS ACCELERATION, VELOCTIY AND POSITION In problms -, drmin h posiion funcion, (), from h givn informaion.. v (), () = 5. v ()5, () = b g. a (), v() =, () = -. a (), v() =

More information

Quality Improvement of Unbalanced Three-phase Voltages Rectification

Quality Improvement of Unbalanced Three-phase Voltages Rectification SEI 9 5 h Inrnionl Confrn: Ss of Elroni, hnologis of Inforion nd louniions Mrh -6, 9 UNISIA Quliy Ipron of Unlnd hr-phs ols Rifiion Fi Zhr AMAOUL *, Musph.RAOUFI * nd Mouly hr LAMCHICH * * Dprn of physis,

More information

Section 4.3 Logarithmic Functions

Section 4.3 Logarithmic Functions 48 Chapr 4 Sion 4.3 Logarihmi Funions populaion of 50 flis is pd o doul vry wk, lading o a funion of h form f ( ) 50(), whr rprsns h numr of wks ha hav passd. Whn will his populaion rah 500? Trying o solv

More information

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 2

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 2 ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER Seion Eerise -: Coninuiy of he uiliy funion Le λ ( ) be he monooni uiliy funion defined in he proof of eisene of uiliy funion If his funion is oninuous y hen

More information

Math 3301 Homework Set 6 Solutions 10 Points. = +. The guess for the particular P ( ) ( ) ( ) ( ) ( ) ( ) ( ) cos 2 t : 4D= 2

Math 3301 Homework Set 6 Solutions 10 Points. = +. The guess for the particular P ( ) ( ) ( ) ( ) ( ) ( ) ( ) cos 2 t : 4D= 2 Mah 0 Homwork S 6 Soluions 0 oins. ( ps) I ll lav i o you o vrify ha y os sin = +. Th guss for h pariular soluion and is drivaivs is blow. Noi ha w ndd o add s ono h las wo rms sin hos ar xaly h omplimnary

More information

Stability of time-varying linear system

Stability of time-varying linear system KNWS 39 Sbiliy of im-vrying linr sysm An Szyd Absrc: In his ppr w considr sufficin condiions for h ponnil sbiliy of linr im-vrying sysms wih coninuous nd discr im Sbiliy gurning uppr bounds for diffrn

More information

On the Existence and uniqueness for solution of system Fractional Differential Equations

On the Existence and uniqueness for solution of system Fractional Differential Equations OSR Jourl o Mhms OSR-JM SSN: 78-578. Volum 4 ssu 3 Nov. - D. PP -5 www.osrjourls.org O h Es d uquss or soluo o ssm rol Drl Equos Mh Ad Al-Wh Dprm o Appld S Uvrs o holog Bghdd- rq Asr: hs ppr w d horm o

More information

Contraction Mapping Principle Approach to Differential Equations

Contraction Mapping Principle Approach to Differential Equations epl Journl of Science echnology 0 (009) 49-53 Conrcion pping Principle pproch o Differenil Equions Bishnu P. Dhungn Deprmen of hemics, hendr Rn Cmpus ribhuvn Universiy, Khmu epl bsrc Using n eension of

More information

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule Lcur : Numrical ngraion Th Trapzoidal and Simpson s Rul A problm Th probabiliy of a normally disribud (man µ and sandard dviaion σ ) vn occurring bwn h valus a and b is B A P( a x b) d () π whr a µ b -

More information

1 Introduction to Modulo 7 Arithmetic

1 Introduction to Modulo 7 Arithmetic 1 Introution to Moulo 7 Arithmti Bor w try our hn t solvin som hr Moulr KnKns, lt s tk los look t on moulr rithmti, mo 7 rithmti. You ll s in this sminr tht rithmti moulo prim is quit irnt rom th ons w

More information

( ) ( ) + = ( ) + ( )

( ) ( ) + = ( ) + ( ) Mah 0 Homwork S 6 Soluions 0 oins. ( ps I ll lav i o you vrify ha h omplimnary soluion is : y ( os( sin ( Th guss for h pariular soluion and is drivaivs ar, +. ( os( sin ( ( os( ( sin ( Y ( D 6B os( +

More information

Available at Vol. 1, No. 1 (2006) pp

Available at  Vol. 1, No. 1 (2006) pp Avilbl hp://pvmu.du/pgs/398/sp Vol., No. (6) pp. 36 6 Applicions nd Applid Mhmics (AAM): An Inrnionl Journl ANALYSIS OF AN SIRS AGE-STRUCTURED EPIDEMIC MODEL WITH VACCINATION AND VERTICAL TRANSMISSION

More information

Library Support. Netlist Conditioning. Observe Point Assessment. Vector Generation/Simulation. Vector Compression. Vector Writing

Library Support. Netlist Conditioning. Observe Point Assessment. Vector Generation/Simulation. Vector Compression. Vector Writing hpr 2 uomi T Prn Gnrion Fundmnl hpr 2 uomi T Prn Gnrion Fundmnl Lirry uppor Nli ondiioning Orv Poin mn Vor Gnrion/imulion Vor omprion Vor Wriing Figur 2- Th Ovrll Prn Gnrion Pro Dign-or-T or Digil I nd

More information